Description :

Key Responsibilities :

Infrastructure & Cloud Management :

- Deploy, manage, and scale cloud infrastructure on AWS / Azure / GCP.

- Build and maintain Kubernetes clusters, container orchestration, and service deployments.

- Implement networking, load balancing, DNS, and security configurations across environments.

CI/CD Automation :

- Design, develop, and streamline CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, etc.

- Automate build, test, deployment, and rollback processes for microservices and frontend apps.

- Ensure pipelines follow best practices for security, reliability, and performance.

Monitoring, Logging & Reliability :

- Configure and maintain monitoring and alerting using tools like Prometheus, Grafana, ELK/EFK stack, Datadog, New Relic, CloudWatch, etc.

- Implement SRE practices such as SLIs, SLOs, error budgets, and automated remediation.

- Troubleshoot production issues and ensure high system uptime.

Automation & Scripting :

- Build automation using Python, Bash, PowerShell, or other scripting languages.

- Automate infrastructure provisioning using Terraform, CloudFormation, Pulumi, etc.

- Implement configuration management using Ansible, Chef, Puppet, or similar tools.

Security & Compliance :

- Enforce secure deployment practices, secrets management, and identity access controls.

- Integrate security scanning into CI/CD (SAST, DAST, dependency checks).

- Ensure compliance with logging, auditing, backup, and disaster recovery requirements.

Collaboration & Process :

- Work closely with software engineering, QA, and product teams to support rapid releases.

- Participate in architectural discussions and provide input on scalability and reliability.

- Document runbooks, architecture diagrams, and operational processes.

- Participate in on-call rotation (if required).

Required Skills & Qualifications :

- Experience working with cloud platforms (AWS, Azure, or GCP).

- Strong understanding of Linux administration, networking, storage, and virtualization.

- Hands-on experience with Docker, Kubernetes, and microservices deployments.

- Proficiency with scripting (Python, Bash, etc.) and automation frameworks.

- Experience building CI/CD pipelines and using DevOps tools (Jenkins, GitHub Actions, GitLab CI, etc.

- Familiarity with monitoring, logging, and observability tools.

- Solid understanding of Git, Agile development, and release processes.

Preferred / Nice-to-Have :

- Experience with infrastructure-as-code tools (Terraform preferred).

- Knowledge of service meshes (Istio, Linkerd) or API gateways.

- Experience with serverless technologies (AWS Lambda, Azure Functions).

- Exposure to security tools (Vault, Snyk, Aqua, Prisma Cloud).

- Experience with performance tuning and cost optimization in cloud environments.

- Familiarity with message queues (Kafka, RabbitMQ)